16 citations · 28 across the 8 of their papers we have counts for
10 papers
Sparse model-based clustering of three-way data via lasso-type penalties
Andrea Cappozzo, Alessandro Casa, Michael Fop
Mixtures of matrix Gaussian distributions provide a probabilistic framework for clustering continuous matrix-variate data, which are becoming increasingly prevalent in various fiel…
Classification of cow diet based on milk mid infrared spectra: a data analysis competition at the "International workshop of spectroscopy and chemometrics 2022"
Maria Frizzarin, Giulio Visentin, Alessandro Ferragina +14
In April 2022, the Vistamilk SFI Research Centre organized the second edition of the "International Workshop on Spectroscopy and Chemometrics - Applications in Food and Agriculture…
Mid infrared spectroscopy and milk quality traits: a data analysis competition at the "International Workshop on Spectroscopy and Chemometrics 2021"
Maria Frizzarin, Antonio Bevilacqua, Bhaskar Dhariyal +11
A chemometric data analysis challenge has been arranged during the first edition of the "International Workshop on Spectroscopy and Chemometrics", organized by the Vistamilk SFI Re…
Group-wise shrinkage estimation in penalized model-based clustering
Alessandro Casa, Andrea Cappozzo, Michael Fop
Finite Gaussian mixture models provide a powerful and widely employed probabilistic approach for clustering multivariate continuous data. However, the practical usefulness of these…
Advances in Multi-Variate Analysis Methods for New Physics Searches at the Large Hadron Collider
Anna Stakia, Tommaso Dorigo, Giovanni Banelli +22
Between the years 2015 and 2019, members of the Horizon 2020-funded Innovative Training Network named "AMVA4NewPhysics" studied the customization and application of advanced multiv…
Co-clustering of time-dependent data via Shape Invariant Model
Alessandro Casa, Charles Bouveyron, Elena Erosheva +1
Multivariate time-dependent data, where multiple features are observed over time for a set of individuals, are increasingly widespread in many application domains. To model these d…
Parsimonious Bayesian Factor Analysis for modelling latent structures in spectroscopy data
Alessandro Casa, Tom F. O'Callaghan, Thomas Brendan Murphy
In recent years animal diet has been receiving increased attention, in particular examining the impact of pasture-based feeding strategies on the quality of milk and dairy products…
Better than the best? Answers via model ensemble in density-based clustering
Alessandro Casa, Luca Scrucca, Giovanna Menardi
With the recent growth in data availability and complexity, and the associated outburst of elaborate modelling approaches, model selection tools have become a lifeline, providing o…
Modal clustering asymptotics with applications to bandwidth selection
Alessandro Casa, José E. Chacón, Giovanna Menardi
Density-based clustering relies on the idea of linking groups to some specific features of the probability distribution underlying the data. The reference to a true, yet unknown, p…
Nonparametric semisupervised classification for signal detection in high energy physics
Alessandro Casa, Giovanna Menardi
Model-independent searches in particle physics aim at completing our knowledge of the universe by looking for new possible particles not predicted by the current theories. Such par…